{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python371jvsc74a57bd0ceed3ede7d2ae4746b1bde0ed48f83d28ba93d0b68e140a25bb2fbb7cbabeb22",
   "display_name": "Python 3.7.1 64-bit ('Python3_7_2')"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = tf.random.normal([2,4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "<tf.Tensor: shape=(2, 3), dtype=float32, numpy=\n",
       "array([[-0.44744772, -0.44744772, -0.44744772],\n",
       "       [-0.12050104, -0.12050104, -0.12050104]], dtype=float32)>"
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "w = tf.ones([4,3])\n",
    "b = tf.zeros([3])\n",
    "o = x@w + b\n",
    "\n",
    "o"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}